MicroMasters Program in Statistics and Data Science Basics

arrow_drop_down What is the MITx MicroMasters Program® Credential in Statistics and Data Science?   ¶

The MITx MicroMasters Program Credential in Statistics and Data Science which is a stand-alone certification program offered by MITx that is designed and administered by the MIT Institute for Data, Systems, and Society (IDSS) and supported by the MITx Open Learning.

The MITx MicroMasters program credential consists of four intensive online courses which provide learners with both foundational knowledge essential to understanding methods and tools used in data science and with hands-on practice. Students will practice implementing and experimenting with data analysis techniques and machine learning algorithms. After students complete these four courses is one virtually-proctored Capstone Exam o complete the program and earn the credential.

It is important to note that the MicroMasters program is NOT a degree-granting program, nor is it a guarantee of admissions to MIT or to any of the IDSS graduate programs. It is a separate stand-alone professional certificate offered by MITx and delivered by edX. Read more or enroll on edX here.

arrow_drop_down What are the four online courses required for the MITx MicroMasters Program Credential in Statistics and Data Science?   ¶

There are four online courses and a Capstone Exam required to complete the MITx MicroMasters program credential in Statistics and Data Science.

  • 6.431x Probability - The Science of Uncertainty and Data
  • 14.310x/14.310Fx- Data Analysis in Social Science. This course consists of 2 parts: the content course 14.310x Data Analysis for Social Scientists and its SDS Exam: 14.310Fx Data Analysis in Social Sciences–Assessing your Knowledge. This course does NOT require probability as prerequisite. For more information on the setup of this course, please view the enrollment logistics video.
  • 18.6501x Fundamentals of Statistics
  • 6.86x Machine Learning with Python: from Linear Models to Deep Learning

To be eligible for the MicroMasters program credential, you must earn a Verified Certificate in each course and pass the comprehensive exam. Read more about verification here.

arrow_drop_down Is there a suggested order in which I need to take the courses?   ¶

These courses build on one another. We encourage you to take them in this order:

  1. 6.431x Probability - The Science of Uncertainty and Data
  2. 14.310x Data Analysis in Social Science: Assessing Your Knowledge
    14.310fx Data Analysis for Social Scientists: SDS exam
  3. 18.6501x Fundamentals of Statistics OR
  4. 6.86x Machine Learning with Python

If you do not have a strong probability background and would like to start pursuing the MicroMasters program in SDS during the term when 6.431x Probability course is not running, please enroll in with course 2 (14.310x Data Analysis in Social Sciences) of 4 in the program.

To succeed in the program, learners are strongly recommended to complete coursework from Introduction to Computer Science and Programming in Python (6.0001) or if possible: Introduction to Computational Thinking and Data Science (6.0002).

At your discretion, to finish in a reduced time, 14.310x (Data Analysis in Social Science) may be taken in conjunction with either 18.6501x (Fundamentals of Statistics) or 6.86x (Machine Learning with Python) as a standalone class.

arrow_drop_down Are these classes occurring again?   ¶

Yes, the courses will be running in the future, in order to provide learners flexibility and opportunities to complete and schedule their coursework.

The next run of each course are also listed in the MITx MicroMasters program dashboard.

arrow_drop_down What is the projected timeline?   ¶

Here are two track options two track options for completing the MM SDS program:

Screen Shot 2019-08-21 at 4.31.06 PM.png

Screen Shot 2019-08-21 at 4.30.49 PM.png

arrow_drop_down What is the current and upcoming schedule for courses?   ¶

Here are some current and future run dates for the courses that may help you decide how you would like to structure your course schedule. Dates on schedule are subject to change.

2019 MM SDS Plan

2020 MM SDS Plan

2019 MM SDS Plan

2019 MM SDS Plan

arrow_drop_down Is one course a pre-requisite for another course? In other words, do learners need to take the four courses in order or can they take some courses concurrently?   ¶

While the linear ordering of the 4 courses are 6.431x, 14.310x/Fx, 18.6501x or 6.86x, learners can finish in 4 terms (+ exam) or 3 terms (+exam). The terms coincide roughly with MIT terms.

The constraints on ordering are:

  • 6.431x (Probability) has to be before 18.6501x (Fundamentals of Statistics) and 6.86x (Machine Learning with Python);
  • 14.310x (Data Analysis: content and assessment courses) should be before 18.6501x (Fundamentals of Statistics);
  • Both 14.310x, 18.6501x make more sense before 6.86x, but are not strictly required.

To finish in 4 terms:

Learners with Python background can take 14.310x/Fx concurrently with either 18.6501x; learners with no Python background will also need take 6.00.1x (free) concurrently with 6.431x.

To finish in 3 terms:

Learners with Python background can take 6.431x and 6.86x in the first term, and 14.310x and 18.6501x in the second.

Here is a visual representation of these restrictions:

SDS Course order

MM SDS visualization chart

arrow_drop_down What are the prerequisites for the program?   ¶

There are no mandated prerequisites or for the full program. Prerequisites for individual courses are listed on the respective course pages.

However, learners will excel only if they are comfortable with multi-variable calculus, math reasoning, and basic vectors and matrices before they start the program.

The following online courses on edX or MIT Open CourseWare (OCW) are recommended:

● Single variable calculus: 18.01.1x, 18.01.2x, 18.01.3x (Archived on edX)
● Multivariable calculus: 18.02 (OCW)
● Basics of Linear algebra:
○ Quick introduction: Units 1-2 of 18.033x (Archived on edX)
○ In-depth: 18.06 (OCW)
● Python programming: 6.00.1x (self-paced on edX)

*We strongly recommend the completion of “Multivariable Calculus” on MIT OpenCourseWare before starting any of the MITx MicroMasters program credential in Statistics and Data Science courses.

**Please also note, Python will not be taught in the SDS course Machine Learning with Python. We expect proficiency in Python. Learners without Python proficiency must take Introduction to Computer Science and Programming in Python (6.0001) and/or Introduction to Computational Thinking and Data Science (6.0002). One or both must be completed before pursuing course 6.86x Machine Learning with Python, where it will be used to implement machine learning algorithms. R will be reviewed.

Learners with no Python or cCalculus background should anticipate the cost of the program to remain the same, but the length of the program to be longer. Please anticipate all of the following courses:

Audit for free:

  • Single variable calculus: 18.01.1x, 18.01.2x, 18.01.3x (Archived on edX)
  • Multivariable calculus: 18.02 (OCW)
  • Basics of Linear algebra:
    • Quick introduction: Units 1-2 of 18.033x (Archived on edX)
    • In-depth: 18.06 (OCW)
  • Python programming: 6.00.1x (self-paced on edX)**
  • Introduction to Computational Thinking and Data Science
  • Data Analysis for Social Scientists, content course

Pay as a Verified Learner:

  • Probability
  • Fundamentals of Statistics
  • Data Analysis in Social Science: Assessing Your Knowledge
  • Machine Learning with Python

arrow_drop_down How do I register for courses, and do I need to have an undergraduate degree?   ¶

There is no formal admission to the MicroMasters programs. Please register for each individual course as your schedule permits on edX. Course enrollments are open to anyone, anywhere with an internet connection. An undergraduate degree is not required to enroll.

Given that these are graduate-level quantitative courses, we strongly suggest you have a grasp of single and multi-variable calculus and linear algebra, as well as being comfortable with mathematical reasoning and Python programming. Please see (link to pre-requisite question) for information about background knowledge necessary for success.

arrow_drop_down Do I need to be a Verified Learner to earn the MITx MicroMasters Program credential in Statistics and Data Science?   ¶

Yes. You must successfully pass and receive a Verified Certificate in each of the four courses and the Capstone Exam. Learn more about verified certificates here.

arrow_drop_down How are the courses delivered?   ¶

All courses are pre-recorded. Lessons are released according to a calendar specific to each course. The calendar will be posted at the beginning of each course. Students can work through the course content on their own schedule after it has been released. Please note some assignments have strict deadlines and work will not be accepted after that deadline.

If you are uncertain of your ability to commit to a course schedule, enroll in the course on the audit track and the schedule will become available on the start date of the class. You can determine after the first class if you would like to upgrade to Verified Learner status once you are certain about your schedule. The deadline to become a Verified Learner for a course is four weeks after the start date of the course.

arrow_drop_down If you have never taken a course on edX you can try Demo_x:   ¶

https://www.edx.org/course/demox-edx-demox-1-0

arrow_drop_down How much does the MITx MicroMasters program credential in SDS cost, and is there financial aid available?   ¶

The cost to take each course is US $300. The Capstone Exam cost is US $300. If you choose to enroll in and pay for each courses separately, your program cost will be $1500. If you choose to enroll in the program and pay for courses upfront, the program cost is $1350, for a savings of $150. Please see the program page on edX at the following link for more information.

edX offers financial aid to learners who qualify. You can learn more and find out if you qualify here.

If you choose to take courses on edX before beginning your program to enhance your background knowledge, such as calculus classes or Introduction to Python Programming, you do not need to pay for Verified Learner status for those courses. You only need to pay for the four required courses and the Capstone Exam.

arrow_drop_down How long does it take to complete the MITx MicroMasters Program Credential in Statistics and Data Science?   ¶

On average, we expect our learners to take about 12-18 months to complete the credential.

Learners with no Python or Calculus background should plan for 18-24 months. Please see the (pre-req answer link goes here) for more details.

arrow_drop_down When is the next MITx MicroMasters program credential in Statistics and Data Science offered?   ¶

The next run of each course are also listed in the MITx MicroMasters program dashboard at the following link. [link needs to be inserted].

arrow_drop_down How much time should I expect to spend on each MITx MicroMasters program credential in Statistics and Data Science course?   ¶

Each course in the MITx MicroMasters program credential in Statistics and Data Science runs for between 13 and 16 weeks. Learners with appropriate background can expect to spend roughly 12-14 hours per week on each course.

arrow_drop_down Is there a time limit to finish the MicroMasters program in Statistics and Data Science?   ¶

There is no specific timeframe to complete the MicroMasters program, but if the learner is planning to use the credential to apply to a blended learning on-campus program, each program may have specific requirements.

arrow_drop_down Is there any way to reduce the time needed to take and pass the MITx MicroMasters Program Credential in Statistics and Data Science courses and exam?   ¶

To earn the MicroMasters Program Credential, you need to successfully earn a verified certificate in all MITx MicroMasters Program Credential in Statistics and Data Science online courses when they are scheduled and then pass the virtually-proctored exam. The courses are on an instructor-paced schedule rather than self-paced, so there is no way to reduce the time within in each individual course.

However, learners may take 14.310x (Data Analysis in Social Science) concurrently with 18.6501x (Fundamentals of Statistics) or 6.86x (Machine Learning with Python). This will allow you to complete the credentialing process earlier. Please refer to (pre-requ answer link goes here) and (course order link goes here) answer for more information.

arrow_drop_down May I use two or more different accounts for the MITx MicroMasters program credential in Statistics and Data Science courses?   ¶

No. Each edX learner should have a single edX ID (username and email account) that must be used in the four MITx MicroMasters program credential in Statistics and Data Science courses and also in the final comprehensive exam. In fact, using two different edX accounts within the same course are grounds for expulsion from the course.

arrow_drop_down I have taken similar courses as part of another program, can I get credit for these?   ¶

Unfortunately we cannot give credit towards this credential for work completed outside these courses. You will need to take and pass all four courses and the Capstone Exam to receive this credential.

arrow_drop_down Can I enroll in the Capstone Exam course before I have completed the four required courses?   ¶

The option to enroll in the Capstone Exam course will only become available once final passing grades for all four required courses are on your dashboard. Then you will have the option to enroll in the Capstone Exam course.

arrow_drop_down May I repeat a course for a better score?   ¶

Yes, you may repeat a course as many times as you wish. Each offering of a course is assessed independently.

If you achieve passing scores on the audit track it will not count towards your credential. In order for a course to count toward the MicroMasters Program Credential, it must be taken as an I.D. Verified Learner. If you paid for the verified certificate track in your previous session and you did not pass or wish to try again for a better score, you will need to pay a new verified enrollment fee. Verified Learner status fee only applies to the session in which the fee was paid.

Verification fees are not transferable across courses.

Verification fees are not transferable across courses.

arrow_drop_down What are the key concepts covered in each course?   ¶

6.431x (Probability - The Science of Uncertainty and Data) is an introduction to probabilistic models, including random processes and the basic elements of statistical inference, and covers the foundations of data science.

14.310Fx (Data Analysis For Social Scientists) covers the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest.

14.310x (Data Analysis in Social Science: Assessing your Knowledge) assessing your mastery of the concepts and skills taught in the content course.

18.6501x (Fundamentals of Statistics) helps learners to develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing, and prediction.

6.86x (Machine Learning with Python) is an in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, with hands-on Python projects.

The course pages can be found here: https://www.edx.org/micromasters/mitx-statistics-and-data-science#courses

arrow_drop_down What if I have a disability-related request regarding accessing a MicroMasters program course or exam?   ¶

If you have a disability-related request regarding accessing a MicroMasters program course or exam, please contact micromasters-support@mit.edu as early as possible.

COURSES

arrow_drop_down How are the courses scheduled? How often are assignments due?   ¶

Each course varies. Assignments are often due weekly, and the release dates of the materials are correlated with these deadlines. Once you audit a course, you will have access to the syllabus and then decide if the assignment schedule will work for you.

arrow_drop_down Which classes require R and which classes require Python?   ¶

Python will be used in 6.86x (Machine Learning with Python), and R is covered in 14.310x (Data Analysis in Social Science). Please note, it is assumed learners are comfortable with Python before starting this MicroMasters program. R will be reviewed.

arrow_drop_down Is there any operating system or software requirements for the courses?   ¶

You will need to download R and Python. In addition, learners will need to download extra packages such as pytorch for the Machine Learning with Python course, and a software for virtual proctoring for the Capstone Exam.

There is no specific operating system preferred. If you search for the items that need to be downloaded you will find the operating systems to download them for.

For example Python is compatible with almost every OS including Windows, Linux/UNIX, Mac OS X, etc:

https://www.python.org/downloads/

https://www.python.org/download/other/

arrow_drop_down Will I have access to the material after the course ends?   ¶

Verified Learners will have access to the course material in archived mode once courses are finished. This may mean that videos are available but assessments, such as lecture and recitation exercises, homework, and exams, are not. As an audit learner, you will have access to the learning materials only while the course is open, but not an archived version once the course is closed. In order to maintain access to the learning materials, you are welcome to enroll as an auditor in any future run of a course.

arrow_drop_down Do I have to take 14.310Fx Data Analysis in Social Science: Assessing Your Knowledge if I have taken and passed 14.310x Data Analysis for Social Scientists and the proctored exam as part of the DEDP MicroMasters program?   ¶

If you have taken the 14.310x course and passed the proctored exams as a Verified Learner, you will not need to retake the course. However, you will need to pay for and take our assessment exam, Data Analysis in Social Science: Assessing Your Knowledge, as part of the MicroMasters program in Statistics and Data Science in order to receive a certificate for the course.

arrow_drop_down Are the DEDP and SDS interchangeable credentials?   ¶

To clarify, the MicroMasters programs in Data, Economics, and Development Policy (DEDP) and in Statistics and Data Science (SDS) are two independent programs. The cost of each class in DEDP (including the proctored exam) is between $100 and $1,000 dollars, depending on learners' ability to pay, while SDS has fixed price, which is $300 per course. Their certificates will not be interchangeable. If you are going to the SDS path, please enroll in the content course 14.310x - Data Analysis for Social Scientists (Note: There is no additional fee to enroll in the content course) and enroll in and pay for the assessment course; complete the content course 14.310x with a passing grade, then come back to the assessment course and take the exam to earn your verified certificate that will count toward the MicroMasters program credential in SDS.

This short video of Logistics of 14.310x/Fx Data Analysis for Social Scientists will help you understand the course better.

arrow_drop_down What is the difference between 14.310x Data Analysis for Social Scientists and 14.310Fx (Data Analysis in Social Science)?   ¶

14.310x (Data Analysis in Social Science) covers the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest. 14.310Fx is an assessment that tests your knowledge on the course content from 14.310x (Data Analysis in Social Science).

This short video of Logistics of 14.310x/Fx Data Analysis for Social Scientists will help you understand the course better.

CREDENTIALS AND VERIFIED CERTIFICATES

arrow_drop_down Will I earn a separate certificate for each course or just one for the entire MicroMasters Program Credential?   ¶

You will receive an individual Verified Certificate for each MITx MicroMasters course in the Statistics and Data Science program that you pass as a Verified Learner. Read more about course certificates here. View a sample course certificate here.

Learners who pass the Capstone Exam after earning all four required course certificates will receive the Statistics and Data Science MicroMasters credential. View a sample program credential here.

arrow_drop_down Does completion of the MicroMasters Program Credential guarantee admission to IDSS Graduate programs at MIT?   ¶

No. While your performance in the MicroMasters program coursework and proctored exams will play a very important role in determining admissions, it won't be the only criterion we take into account.

Learners who successfully complete this MITx MicroMasters program credential have the opportunity to apply to the MIT Doctoral Program in Social and Engineering Systems (SES) offered through the MIT Institute for Data, Systems, and Society (IDSS) during the SES admissions cycle (due date: December 15). Credentialed learners will be able to use their credential to demonstrate their preparation in statistics and data science fundamentals to the SES Admissions Committee.

Learners admitted to SES can expect that their MITx MicroMasters program coursework will help prepare them for the SES core classes, and in many cases may also be applied toward the SES Information, Systems, and Decision Science requirements. More information on the MIT SES Doctoral Program can be found here (https://idss.mit.edu/academics/ses_doc/).

arrow_drop_down How do I earn a Verified Certificate? When is the deadline to pay and verify for the course?   ¶

To earn a verified certificate for an online course, you need to pay the fee and upgrade to Verified Learner Status within the first four weeks and then successfully complete the course and the virtually proctored exam. The verified certificate costs US $300 per course in the MITx MicroMasters program credential in Statistics and Data Science. The virtually proctored exam is also US $300 and requires you to verify your identity using a webcam and a government-issued ID, so employers and schools know that you, and only you, completed the coursework.

arrow_drop_down Which institution issues the verified certificate?   ¶

Certificates are issued by edX under the name of MITx and are delivered online through edx.org.

arrow_drop_down Is it sufficient to keep a "pass" grade in the course, or will the bar for achieving the MicroMasters program be set higher?   ¶

Yes, you will receive your credential if you achieve a passing grade in each course and the Capstone Exam.

The passing grade for each course is independent of the MicroMasters program credential. The specific grade is set by the instructor. When applying to an MIT graduate program, we will use the actual scores in the admissions process – but that is independent of earning the MicroMasters program credential.

arrow_drop_down How do I share my course certificate or MicroMasters program credential with employers and schools? How can I prove completion of the MicroMasters program?   ¶

You can add the individual course certificate, or MicroMasters program credential in the education, certifications or accomplishments section of your resume or CV. If you wish to add the MicroMasters program credential abbreviation to your title, use “ MITx MicroMasters program credential in Statistics and Data Science.”

Your course certificate or MicroMasters program credential will have an identifying code that you can also share via hyperlink following these directions.

To add your course certificate or MicroMasters program credential to your LinkedIn profile, you may use the Education or Accomplishments sections of LinkedIn. Choose MITx as your certification authority under education or MIT IDSS under accomplishments.

arrow_drop_down How to view and share your Statistics and Data Science Program Record?   ¶

Please review this detailed instruction from edX.

arrow_drop_down I've already taken Introduction to Probability when it was listed as 6.041x. Can I get credit for this course?   ¶

If you took 6.041x as a Verified Learner and passed before September 2018, you can receive credit for 6.431x Probability - The Science of Uncertainty and Data. You will still need to verify and pass the other MicroMasters program courses and the cumulative final exam in order to complete the MicroMasters program credential. When enrolling for the final exam, please inform the staff of when you took 6.041x.

ACADEMIC PROGRAMS AT MIT IDSS AND OTHER UNIVERSITIES

arrow_drop_down What are the paths to earning a PhD Degree from MIT IDSS?   ¶

The Doctoral Program in Social and Engineering Systems (SES) is a unique research program independent of the Micromasters Program in Statistics and Data Science.

Learners who successfully complete the MITx MicroMasters program credential have the opportunity to apply to the MIT Doctoral Program in Social and Engineering Systems (SES) offered through the MIT Institute for Data, Systems, and Society (IDSS) during the SES admissions cycle (due date: December 15). Credentialed learners will be able to use their credential to demonstrate their preparation in statistics and data science fundamentals to the SES Admissions Committee.

Learners admitted to SES can expect that their MITx MicroMasters program coursework will help prepare them for the SES core classes, and in many cases may or may not be applied toward the SES Information, Systems, and Decision Science course requirements. More information on the MIT SES Doctoral Program can be found here (https://idss.mit.edu/academics/ses_doc/).

arrow_drop_down How will having the MITx MicroMasters program credential in Statistics and Data Science change the admissions process for the Statistics, Social and Engineering Systems, and Technology and Public Policy full-time graduate programs?   ¶

The Admissions process for learners who have earned a MicroMasters credential need to participate in the standard admissions process and meet all application requirements for any program to which they apply will not be affected

Successful completion of MicroMasters Program in Statistics and Data Science does not guarantee admissions to MIT SES and TPP graduate programs. Having the MicroMasters program credential provides the admissions committee with significant insight into a learner’s capabilities through the completion of four online courses and one virtually-proctored cumulative exam. We encourage learners to note the completion of MITx MicroMasters program credential in Statistics and Data Science MicroMasters program credential in their application, which the admissions committee will take into consideration. Information on the Doctoral programs at MIT IDSS https://idss.mit.edu/academics/ses_doc/

arrow_drop_down What universities accept the MicroMasters program credential for university credit?   ¶

Learners who successfully earn the MITx MicroMasters program credential in Statistics and Data Science are now eligible to earn credit at a number of universities across the globe to fast track their pursuit of a full Master’s degree. Here is a list of these universities and information on the amount of credit offered.

Credit from the MITx MicroMasters program credential in Statistics and Data Science can count towards course requirements for learners admitted to the SES PhD Program.

arrow_drop_down How can I contact the faculty member in charge of the MITx MicroMasters program credential in Statistics and Data Science program?   ¶

If your question is about a particular class that you are enrolled in, you can contact the course teams by emailing the address listed on the “About” page for each course. Please direct all other questions about the MITx MicroMasters program credential in Statistics and Data Science to sds-mm@mit.edu

arrow_drop_down Is the MITx MicroMasters program credential transferable to other university for credit?   ¶

Yes, it will not only be MIT that will grant credit, there are also a number of universities offering credit for MITx MicroMasters programs.

Once you receive the MITx MicroMasters program credential, you can apply to these Master’s programs; upon acceptance, your MITx MicroMasters program credential will translate into credits toward the Master’s degree, allowing you to accelerate the completion of your graduate studies at one of these universities. To find out which universities are offering credit, please visit here.

arrow_drop_down What universities accept the MicroMasters program credential for university credit?   ¶

Learners who successfully earn the MITx MicroMasters program credential in Statistics and Data Science are now eligible to earn credit at a number of universities across the globe to fast track their pursuit of a full Master’s degree. Here is a list of these universities and information on the amount of credit offered.

Credit from the MITx MicroMasters program credential in Statistics and Data Science can count towards course requirements for learners admitted to the SES PhD Program.

arrow_drop_down Will MIT add more credit pathway schools in the future?   ¶

Yes, we continue to work with universities globally to grow the pathway credits for MicroMasters program credentials. Please continue to visit our website for updates.

arrow_drop_down What if a learner has a desired school for Master’s program but not currently on our pathways list?   ¶

We would love to know and to perhaps build a credit pathway with this school. Please connect with us at mitx.micromasters@mit.edu.

What is the Capstone Exam?

arrow_drop_down What is the Capstone Exam?   ¶

The Capstone Exam is the comprehensive final exam for the MicroMasters program in Statistics and Data Science. To qualify for the Capstone, a learner must have completed and passed all four SDS courses as an ID Verified Learner, using the same username. Then the option to enroll in the Capstone Exam will become available on the course page. The exam consists of 4, 120-minute tests.

arrow_drop_down What is a virtually-proctored exam?   ¶

A proctored exam is a supervised exam taken online. A proctor ensures the security and integrity of the exam process. A proctor is a liaison between edX and its learners who ensures that testing is done under fair and secure conditions. The proctor’s main responsibilities include verifying a government-issued photo ID, monitoring learners during the exam to ensure they do not use unauthorized aides, and ensuring learners follow the instructions outlined by the instructor.

arrow_drop_down What will the virtually-proctored exam be like?   ¶

Virtually-proctored learners will take the final exam from their own computers and be able to open each section of the exam for a predetermined, set amount of time. The exam consists of 4, 120-minute tests.

The exam is designed to test broad learning across the four courses. The questions are designed according to the limitations presented in the exam: limited time, and limited accessibility. The main purpose is to test your understanding of the key concepts from all four courses

arrow_drop_down When is it the Capstone Exam offered next?   ¶

The Capstone will be held twice annually. It is offered September 19, 2019 and future dates to be added for 2020. You can review the annual course schedule here: 2019 MM SDS Plan 2019 MM SDS Plan

arrow_drop_down What will I need for the exam?   ¶

  • A government-issued photo ID that clearly identifies you by your full name, and that can be used to confirm your identity
  • A computer that meets all system requirements to use the edX platform.

arrow_drop_down Why do we need a final exam if we passed all the courses?   ¶

The Capstone is designed to assess your ability to synthesize and apply the learning from all four SDS courses.

Whether you intend to earn the MicroMaster credential or continue on to pursue an in-person program, the credential is designed to be equivalent to one semester of work in the MIT IDSS on-campus program. In order to meet application requirements for competitive admission to the MIT IDSS and to other universities that accept the credential for campus credit, the course offers one final assessment in the Capstone.

arrow_drop_down What if I have a disability-related request regarding accessing a MicroMasters program course or exam?   ¶

If you have a disability-related request regarding accessing a MicroMasters program course or exam, please contact micromasters-support@mit.edu as early as possible.

Instructors